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1. 中国科学院 长春光学精密机械与物理研究所,吉林 长春,中国,130033
2. 中国科学院大学 北京,中国,100049
收稿日期:2014-12-09,
修回日期:2015-02-12,
纸质出版日期:2015-11-25
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李俊霖, 郭永飞, 李静秋等. 遥感相机电子学非线性对调制传递函数的影响及其判别[J]. 光学精密工程, 2015,23(11): 3219-3226
LI Jun-lin, GUO Yong-fei, LI Jing-qiu etc. Influence of electronic nonlinearities of space camera on MTF and their discriminance[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3219-3226
李俊霖, 郭永飞, 李静秋等. 遥感相机电子学非线性对调制传递函数的影响及其判别[J]. 光学精密工程, 2015,23(11): 3219-3226 DOI: 10.3788/OPE.20152311.3219.
LI Jun-lin, GUO Yong-fei, LI Jing-qiu etc. Influence of electronic nonlinearities of space camera on MTF and their discriminance[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3219-3226 DOI: 10.3788/OPE.20152311.3219.
遥感相机电子学系统在信号转换过程中会产生V/Q非线性和DN/V非线性
并均会对成像子系统的调制传递函数(MTF)造成影响。本文研究了这两种电子学非线性的产生机理和对MTF的影响并提出了相应的判别方法。从两种非线性的产生机理出发
建立了V/Q非线性和DN/V非线性模型
深入分析了两者对相机MTF的影响并进行了仿真实验。实验表明
非线性造成了电子学MTF的下降
使其由正常状态下的0.55下降为0.47
此外还导致MTF随照度变化。提出了基于视频响应曲线结合响应非均匀性(PRNU)噪声曲线区分V/Q非线性和DN/V非线性的方法并进行了仿真验证。仿真实验验证了提出方法的有效性
为系统设计、改进和非线性补偿提供了有力支持。
The electronics system in a remote sensing camera will generate V/Q nonlinearity and DN/V nonlinearity in signal conversion processing and both of them effect the Modulation Transform Function(MTF) of the sub-imaging system. This paper focuses on the generation mechanism of two kinds of electronic nonlinearities and the effects of the nonlinearities on the MTF and proposes a discriminant method for the electronic nonlinearities. On the basis of the generation mechanism
the V/Q and DN/V nonlinearity theoretical models are established
their effects on the MTF of the camera are researched and a simulation experiment is performed. Experimentl results show that the MTF falls with electronic nonlinearity from 0.55 under a normal state to 0.47
and it also changes with illumination. Finally
a method based on combination of a video response curve and a Photo-response Non-uniformity(PRNU) noise curve is proposed to distinguish the V/Q nonlinearity and DN/V nonlinearity. The simulation is put forward and the feasibility of the proposed method is verified. The research provides strong supports for the design
improvement and nonlinearity compensation of remote sensing cameras.
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